Update app.py

app.py

@@ -30,10 +30,8 @@ def create_initial_state():
 def run_generate_base_video(
     # Parâmetros de Geração
     generation_mode, prompt, neg_prompt, start_img, height, width, duration, cfg, seed, randomize_seed,
-    
-    # Novos parâmetros LTX (com presets e customização)
     fp_guidance_preset, fp_guidance_scale_list, fp_stg_scale_list, fp_timesteps_list,
-    fp_num_inference_steps,
+    fp_num_inference_steps, ship_initial_inference_steps, ship_final_inference_steps
 
     progress=gr.Progress(track_tqdm=True)
 ):
@@ -57,7 +55,7 @@ def run_generate_base_video(
             "guidance_scale_list": fp_guidance_scale_list,
             "stg_scale_list": fp_stg_scale_list,
             "timesteps_list": fp_timesteps_list,
-            "first_pass_num_inference_steps": fp_num_inference_steps,
+            #"first_pass_num_inference_steps": fp_num_inference_steps,
         }
 
         # Decide qual função de backend chamar com base no modo
@@ -144,7 +142,9 @@ with gr.Blocks() as demo:
 
             with gr.Accordion("Opções Adicionais LTX (Avançado)", open=False):
                 cfg_input = gr.Slider(label="Guidance Scale (CFG)", info="Afeta o refinamento (se usado) e não tem efeito no First Pass dos modelos 'distilled'.", value=0.0, step=1, minimum=0.0, maximum=10.0)
-                fp_num_inference_steps = gr.Slider(label="Passos de Inferência (First Pass)", minimum=10, maximum=100, step=1, value=30)
+                fp_num_inference_steps = gr.Slider(label="Passos de Inferência (First Pass)", minimum=10, maximum=100, step=1, value=10)
+                ship_initial_inference_steps = gr.Slider(label="Passos de Inferência (Ship First)", minimum=0, maximum=100, step=1, value=0)
+                ship_final_inference_steps = gr.Slider(label="Passos de Inferência (Ship Last)", minimum=0, maximum=100, step=1, value=0)
             
                 with gr.Tabs():
                     with gr.TabItem("Guiagem (First Pass)"):